Swiss Federal Institute of Technology in Lausanne
PulseAugur coverage of Swiss Federal Institute of Technology in Lausanne — every cluster mentioning Swiss Federal Institute of Technology in Lausanne across labs, papers, and developer communities, ranked by signal.
- 2026-05-25 research_milestone EPFL researchers developed a new holographic volumetric 3D printing technology. source
- 2026-05-25 research_milestone EPFL researchers developed a new holographic volumetric 3D printing technology that is 70x faster than previous methods.
- 2026-05-24 research_milestone EPFL researchers developed a novel holographic volumetric 3D printing technique with 70x increased efficiency. source
- 2026-05-13 research_milestone EPFL researchers developed an AI-based generative framework for protein structures. source
- 2026-05-13 research_milestone EPFL researchers developed an AI framework for generating dynamic protein models. source
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EPFL researchers partner with Proton to integrate Apertus 1.5 into Lumo AI assistant
Researchers from EPFL, ETH Zurich, and the Swiss National Supercomputing Centre have partnered with Proton to integrate their Apertus 1.5 model into Proton's AI assistant, Lumo. This collaboration aims to provide resear…
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EPFL examines AI's transformation of higher education
EPFL is exploring the impact of artificial intelligence on higher education through a new dynamic format. The institution is examining how AI is transforming the learning environment from the perspectives of students, t…
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LevelSyn uses GNNs for physical-aware logic synthesis, improving IC design
Researchers have developed LevelSyn, a new framework for physical-aware logic synthesis that uses a level-asynchronous graph neural network (GNN) to improve the integration of logic and physical design in integrated cir…
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TokEval metrics predict AI model performance, challenging lab methods
Researchers have developed TokEval, a new suite of tokenizer metrics designed to predict the performance of AI language models. This evaluation framework demonstrates that intrinsic metrics can forecast a model's langua…
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AI Agents' Biggest Safety Risks Lie in Orchestrated Conversations, Study Finds
A new study from the Natural Language Processing Laboratory at EPFL suggests that the primary safety concerns with evolving AI agents stem not from isolated malicious prompts, but from sustained, carefully constructed c…
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New LLM agent SKILL optimizes logic synthesis with multi-model approach
Researchers have developed SKILL, a novel agent that uses multiple large language models and reinforcement learning to optimize logic synthesis. The system employs GPT-4o for strategic planning, Claude Sonnet 4 for deta…
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Silent Drones Propelled by 3D-Printed Sound-Powered Engines
Researchers at EPFL have developed a novel sound-powered engine capable of propelling micro-drones and other small devices. This engine utilizes the resonant frequency of a 3D-printed cavity to generate directional thru…
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EPFL, ETH Zurich release Apertus 1.5, a large open-source multimodal LLM
EPFL, ETH Zurich, and CSCS have launched Apertus 1.5, a large, open-source, multimodal LLM. This new version enhances reasoning, instruction following, and tool use capabilities, aiming for more transparent AI development.
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Modus: Decoder-Only Any-to-Any Multimodal Modeling Unveiled
Researchers have introduced Modus, a novel decoder-only architecture for any-to-any multimodal modeling. This approach treats all modalities symmetrically, allowing arbitrary inputs and outputs within a single network w…
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Slovenian prompts perform well on large LLMs, analysis finds
A Slovenian developer analyzed 2,300 of their own prompts to Claude Code and found that prompting in Slovenian, even with typos and mixed English technical terms, does not significantly degrade performance on larger mod…
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EPFL researchers unveil MiCRo AI model inspired by human brain
Researchers at the Swiss Federal Institute of Technology in Lausanne (EPFL) have developed a new AI model called MiCRo (Mixture of Cognitive Reasoners). Inspired by the human brain, MiCRo utilizes four distinct modules …
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Graph Neural Networks Learn Structural Manipulability in Hardware Designs
Researchers have developed a method to quantify the structural manipulability of gate-level netlists, which are foundational to hardware design. This score characterizes node-level flexibility by analyzing path particip…
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AI generates videos to target specific brain regions
Researchers have developed a method to generate AI videos specifically designed to stimulate particular regions of the brain. This technique, demonstrated by the Nevo project at the Swiss Federal Institute of Technology…
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EPFL professor: AI tools are cultural artifacts, not neutral software
Andrea Cavallaro, a professor at EPFL, argues that AI tools should be viewed as cultural artifacts rather than neutral software. He emphasizes the importance of trustworthy information in shaping society and the potenti…
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Apple unveils VideoFlexTok for efficient video tokenization
Apple researchers have developed VideoFlexTok, a novel video tokenization method that represents videos as a variable-length sequence of tokens structured in a coarse-to-fine manner. This approach allows for more effici…
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EPFL urged to ban machine translation for campus restaurant menus
A user on Mastodon suggested that the Swiss Federal Institute of Technology in Lausanne (EPFL) should prohibit the use of machine translation for menus and ingredient lists in its campus restaurants. This suggestion ste…
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Gradient leakage attacks threaten GNNs in circuit design
A new research paper details the first comprehensive evaluation of gradient leakage attacks (GLAs) on graph neural networks (GNNs) used in circuit design and hardware security. The study reveals that GLAs can expose sen…
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Switzerland releases Apertus 70B, a fully open-source and EU AI Act-compliant LLM
Switzerland has launched Apertus 70B, a fully open-source foundation model developed by a collaboration of leading Swiss institutions including ETH Zurich, EPFL, and CSCS. This initiative aims to provide a sovereign AI …
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Switzerland launches Apertus, its first open, multilingual AI model
Apertus, Switzerland's first large-scale, open, and multilingual language model, has been developed by researchers from ETH Zurich, EPFL, and the Swiss National Supercomputing Centre. This initiative is notable for bein…
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EPFL launches open framework for adapting LLMs in healthcare
Researchers at EPFL have introduced MeditronFO, an open framework designed to enhance transparency and accountability in AI for healthcare. This system allows for the adaptation of any open large language model (LLM) fo…